
##Importando a biblioteca
from igraph import *

##Criando o Grafo
g=Graph(directed=False)

##Adicionando os 26 Vertices que representam os 26 estados 
g.add_vertices(27)

#Definindo o Layout do Gráfico
layout = g.layout("circle")

##Criando o Estilo
visual_style = {}
##Layout
visual_style["layout"] = layout
visual_style["margin"] = 20
visual_style["vertex_size"] = 30
visual_style["vertex_shape"] = 'circle'
visual_style["bbox"] = (450, 450)
visual_style["edge_curved"] = 0
visual_style["edge_color"] = 'black'

##Definindo os nomes dos vertices
visual_style["vertex_label"] = ['AC', 'AL', 'AM', 'AP', 'BA', 'CE', 'DF', 'ES', 'GO', 'MA', 'MG', 'MS', 'MT',
                                'PA', 'PB', 'PE', 'PI', 'PR', 'RJ', 'RN', 'RO', 'RR', 'RS', 'SC', 'SE', 'SP', 'TO']

##Definindo as cores do mapa
g.vs['color'] = ['blue','green','yellow','yellow','blue','blue','blue','green','green','blue','yellow','red',
                 'blue','green','green','yellow','green','blue','blue','yellow','green','blue','yellow','green',
                 'yellow','green','yellow']

'''
Relação Labels e Vértices

0 - AC
1 - AL
2 - AM
3 - AP
4 - BA
5 - CE
6 - DF
7 - ES
8 - GO
9 - MA
10 - MG
11 - MS
12 - MT
13 - PA
14 - PB
15 - PE
16 - PI
17 - PR
18 - RJ
19 - RN
20 - RO
21 - RR
22 - RS
23 - SC
24 - SE
25 - SP
26 - TO

Relação de Areas baseado na análise visual do mapa do Brasil e a relação das arestas

'AC': ["AM", "RO"],
'AL': ['PE', "SE", "BA"],
'AM': ['AC', "RR", "RO", "MT", "PA"],
"AP": ["PA"],
"BA": ["SE", "AL", "PE", "PI", "TO", "GO", "MG", "ES"],
"CE": ["RN", "PB", "PE", "PI"],
"DF": ["GO"],
"ES": ["MG", "RJ", "BA"],
"GO": ["DF", "TO", "BA", "MG", "MS", "MT"],
"MA": ["PI", "TO", "PA"],
"MG": ["ES", "RJ", "SP", "GO", "BA", "MS", "DF"],
"MS": ["PR", "SP", "MG", "GO", "MT"],
"MT": ["RO", "AM", "PA", "TO", "GO", "MS"],
"PA": ["AP", "MA", "TO", "MT", "AM", "RR"],
"PB": ["CE", "RN", "PE"],
"PE": ["PB", "CE", "PI", "AL", "BA"],
"PI": ["CE", "PE", "BA", "TO", "MA"],
"PR": ["SP", "SC", "MS"],
"RJ": ["MG", "ES", "SP"],
"RN": ["PB", "CE"],
"RO": ["AC", "AM", "MT"],
"RR": ["AM", "PA"],
"RS": ["SC"],
"SC": ["PR", "RS"],
"SE": ["BA", "AL"],
"SP": ["MG", "RJ", "PR", "MS"],
"TO": ["MA", "PI", "BA", "GO", "MT", "PA"]

'''


##Criando as Arestas de cada estado baseado em uma análise visual do mapa do Brasil e a relação das arestas
g.add_edges([
            ## 0 - AC
            (0,2),(0,20),
            ## 1 - AL
            (1,15),(1,24),(1,4),
            ## 2 - AM
            (2,0),(2,21),(2,20),(2,12),(2,13),
            ## 3 - AP
            (3,13),
            ## 4 - BA
            (4,24),(4,1),(4,15),(4,16),(4,26),(4,8),(4,10),(4,11),
            ## 5 - CE
            (5,19),(5,14),(5,15),(5,16),
            ## 6 - DF
            (6,8),
            ## 7 - ES
            (7,10),(7,18),(7,4),
            ## 8 - GO
            (8,6),(8,26),(8,4),(8,10),(8,11),(8,12),
            ## 9 - MA
            (9,16),(9,26),(9,13),
            ## 10 - MG
            (10,7),(10,18),(10,25),(10,8),(10,4),(10,11),(10,12),
            ## 11 - MS
            (11,17),(11,25),(11,10),(11,8),(11,12),
            ## 12 - MT
            (12,20),(12,2),(12,13),(12,26),(12,8),(12,11),
            ## 13 - PA
            (13,3),(13,9),(13,26),(13,12),(13,2),(13,21),
            ## 14 - PB
            (14,5),(14,19),(14,15),
            ## 15 - PE
            (15,14),(15,5),(15,16),(15,1),(15,8),
            ## 16 - PI
            (16,5),(16,15),(16,8),(16,26),(16,9),
            ## 17 - PR
            (17,25),(17,23),(17,11),
            ## 18 - RJ
            (18,10),(18,7),(18,25),
            ## 19 - RN
            (19,14),(19,5),
            ## 20 - RO
            (20,0),(20,2),(20,12),
            ## 21 - RR
            (21,2),(21,13),
            ## 22 - RS
            (22,23),
            ## 23 - SC
            (23,17),(23,22),
            ## 24 - SE
            (24,8),(24,1),
            ## 25 - SP
            (25,10),(25,18),(25,17),(25,11),
            ## 26 - TO
            (26,9),(26,16),(26,4),(26,8),(26,12),(26,13)
            ])




##Plotar o Grafo
plot(g, **visual_style)


##Importando as biblioteca
## Biblioteca Igraph para criação de grafos.
from igraph import *
## Biblioteca colormap para mapeamento de cores
from branca.colormap import linear
## Biblioteca Folium
import folium
## Biblioteca Json
import json
## Biblioteca Pandas :)
import pandas as pd

## Importando o arquivo Json do Governo e criando o formato GeoJson salvo na pasta do projeto
br_estados = 'br_states.json'
geo_json_data = json.load(open(br_estados))

'''
Ex:

{
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "geometry": {
        "type": "Point",
        "coordinates": [102.0, 0.5]
      },
      "properties": {
        "prop0": "value0"
      }
    }
  ]
}
'''

##Colormap
colormap = linear.YlOrRd_09.scale(6,20)
colormap

##Criacao do mapa interativo com Folium
mapa = folium.Map(
    width=600,height=400,
    location=[-15.77972, -47.92972], 
    zoom_start=3
)

'''
##Definindo os nomes dos vertices
visual_style["vertex_label"] = ['AC', 'AL', 'AM', 'AP', 'BA', 'CE', 'DF', 'ES', 'GO', 'MA', 'MG', 'MS', 'MT',
                                'PA', 'PB', 'PE', 'PI', 'PR', 'RJ', 'RN', 'RO', 'RR', 'RS', 'SC', 'SE', 'SP', 'TO']

##Definindo as cores do mapa
g.vs['color'] = ['blue','green','yellow','yellow','blue','blue','blue','green','green','blue','yellow','red',
                 'blue','green','green','yellow','green','blue','blue','yellow','green','blue','yellow','green',
                 'yellow','green','yellow']
'''

## Leitura do objeto criado GeoJson sobrepondo no mapa
folium.GeoJson(
    geo_json_data,
    style_function=lambda feature: {
        'fillColor': 'blue' if feature['id'] == 'AC'
                            else 'green' if feature['id'] == 'AL'
                            else 'yellow' if feature['id'] == 'AM'
                            else 'yellow' if feature['id'] == 'AP'
                            else 'blue' if feature['id'] == 'BA'
                            else 'blue' if feature['id'] == 'CE'
                            else 'blue' if feature['id'] == 'DF'
                            else 'green' if feature['id'] == 'ES'
                            else 'green' if feature['id'] == 'GO'
                            else 'blue' if feature['id'] == 'MA'
                            else 'yellow' if feature['id'] == 'MG'
                            else 'red' if feature['id'] == 'MS'
                            else 'blue' if feature['id'] == 'MT'
                            else 'green' if feature['id'] == 'PA'
                            else 'green' if feature['id'] == 'PB'
                            else 'yellow' if feature['id'] == 'PE'
                            else 'green' if feature['id'] == 'PI'
                            else 'blue' if feature['id'] == 'PR'
                            else 'blue' if feature['id'] == 'RJ'
                            else 'yellow' if feature['id'] == 'RN'
                            else 'green' if feature['id'] == 'RO'
                            else 'blue' if feature['id'] == 'RR'
                            else 'yellow' if feature['id'] == 'RS'
                            else 'green' if feature['id'] == 'SC'
                            else 'yellow' if feature['id'] == 'SE'
                            else 'green' if feature['id'] == 'SP'
                            else 'yellow' if feature['id'] == 'TO'
                            else 'white'
        ,
        'color': 'darkred',
        'weight': 0.5,
    }
).add_to(mapa)

## Criando o mapa interativo com a menor quantidade de cores baseado no grafo que é 4 cores.
mapa

GRAFOS COM A BIBLIOTECA IGRAPH - GRAFO DE CORES DO BRASIL¶

Grafos plotados em um Mapa Interativo com Folium - Leaflet.js - Cartopy - Dados abertos do Governo¶